TY - CHAP U1 - Konferenzveröffentlichung A1 - Gaiduk, Maksym A1 - Seepold, Ralf A1 - Orcioni, Simone A1 - Conti, Massimo A1 - Martínez Madrid, Natividad T1 - Non-invasive sleep analysis with intelligent sensors T2 - Smart-Future-Living-Bodensee : Proceedings of International Workshop, 24. November 2017, Hochschule Konstanz N2 - Sleep study can be used for detection of sleep quality and in general bed behaviors. These results can helpful for regulating sleep and recognizing different sleeping disorders of human. In comparison to the leading standard measuring system, which is Polysomnography (PSG), the system proposed in this work is a non-invasive sleep monitoring device. For continuous analysis or home use, the PSG or wearable Actigraphy devices tends to be uncomfortable. Besides, these methods not only decrease practicality due to the process of having to put them on, but they are also very expensive. The system proposed in this paper classifies respiration and body movement with only one type of sensor and also in a noninvasive way. The sensor used is a pressure sensor. This sensor is low cost and can be used for commercial proposes. The system was tested by carrying out an experiment that recorded the sleep process of a subject. These recordings showed excellent results in the classification of breathing rate and body movements. KW - Sleep study KW - Pressure sensor KW - Sleep KW - Signal processing Y1 - 2018 SP - 23 EP - 26 ER -